• Intern - Machine Learning Engineer, DevOps

    Location US-GA-Alpharetta
    Job ID
  • Overview

    The purpose of this internship is to prepare college juniors and seniors for entry into the business world by providing a thorough understanding of the various functions of the Zebra Technologies organization to include theory and practical application of attained knowledge.


    Project work will differ in each area depending on business needs, and all interns will participate in the US Zebra Internship Program. The program is designed to provide you with a full experience so that you can fully envision a career with Zebra. You be positioned for success with training, exposure to all parts of the business, social activities, a professional mentor relationship and development sessions to help you discover your own performance edge!


    The DevOps Engineer will be part of a team developing and supporting a customer and partner facing cloud based Big Data platform. This platform gives our customers, partners, and professional services teams valuable insights to increase productivity, efficiency, and ROI.  Using some of the latest technologies like IoT, Predictive Analytics, Machine Learning and modern data collection mechanisms our platform gathers operational and support information for analysis and provides consolidated and actionable information to help our customers and partners manage their devices in the field. In this position you will working with the team to build, improve, and manage automated pipelines that support our development, testing, and production services.  You will interface with all members of the team and members of other teams that maintain supporting applications and system.



    • Help develop, improve, and manage automated development pipelines
    • Develop and maintain continuous integration and deployment mechanisms
    • Interface with QA to build and maintain automated testing in the development pipeline
    • Utilize containerization to make the deployment and testing process repeatable
    • Utilize Blue Green production deployment mechanism to make it error proof
    • Develop and provide system performance and status reports as required by business unit
    • Interface with support for issue resolutions
    • Perform root cause analysis of issues and prepare mitigation solutions
    • Develop planning, organizational and time management skills.
    • Increase technology knowledge and skills.
    • Develop team-based work competencies.
    • Develop interpersonal skills to communicate with employees.
    • Develop interpersonal skills to communicate with day-to-day business contacts through follow up activities.
    • Develop interpersonal skills to communicate with external and external customers.


    • Current enrollment in an undergraduate/graduate degree program in a discipline related to the project specifics. If an undergraduate, must be at the junior or senior level
    • Strong knowledge of Amazon Web Services setup and administration: VPC, Subnets, EC2, EMR, ELB, S3, Hadoop, Route53, WAF, IAM, AD etc.
    • Strong background in Linux/Unix Administration especially in a cloud environment. Redhat experience preferred.
    • Intellectual curiosity with a strong desire to learn and grow
    • Proven leadership and excellence in professional, academic and/or extracurricular experiences
    • Strong problem-solving abilities
    • Effective verbal and written communication skills.
    • Strong interpersonal skills
    • Ability to collaborate as part of a team
    • Proficient in Microsoft Office (including Excel, Word, & PowerPoint)
    • Knowledge of container technologies like Docker and Kubernetes for development and production environments is a plus
    • Experience or exposure to IoT technologies on AWS is a great plus
    • Experience or exposure to Machine Learning on AWS is a great plus.
    • Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship


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